Research

UrbanWell: Benchmarking Multimodal Large Language Models for Spatio-Temporal Urban Wellbeing Analytics

Yanxin Xi, Xiang Su, Jie Feng, et al.

CityLens: Benchmarking Large Vision-Language Models for Urban Socioeconomic Sensing

Tianhui Liu, Hetian Pang, Xin Zhang, et al.

UrbanLLaVA: Multimodal LLM for Urban Intelligence

Jie Feng, Shengyuan Wang, Tianhui Liu, Yanxin Xi, Yong Li

Urban multimodal model for spatial reasoning and understanding.

CityGPT: Empowering Urban Spatial Cognition

Jie Feng, Tianhui Liu, Yuwei Du, et al.

Urban spatial cognition framework for large language models.

Designing A Scalable LLM Agent Framework for Large-scale Urban Segregation Simulation

Qingbin Zeng, Yuwei Yan, Zhiheng Zheng, et al.

TrajAgent: LLM-Agent Framework for Trajectory Modeling

Yuwei Du, Jie Feng, Jie Zhao, Yong Li

LLM-agent framework for trajectory modeling.

AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction

Jie Feng, Yuwei Du, Jie Zhao, Yong Li

Open-Set Living Need Prediction with Large Language Models

Xiaochong Lan, Jie Feng, Yizhou Sun, et al.

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

Yuan Yuan, Jingtao Ding, Jie Feng, et al.

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks

Jie Feng, Yong Li, Chao Zhang, et al.

Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

Fuxian Li, Jie Feng, Huan Yan, et al.

DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

Ziqian Lin, Jie Feng, Ziyang Lu, et al.